Find out in this report how the two NoSQL Databases solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
Reducing costs by half and supporting around five times the non-peak user volume during peak hours.
Couchbase maintained consistent productivity as a finished solution that worked well, saving us time dealing with something less efficient.
The support team has been helpful with VNET configuration, Sync Gateway, and other technical issues.
We used the documentation, which was well-written and clear.
Technical support is very costly for me, accounting for twenty-five to thirty percent of the product cost.
Couchbase is extremely scalable, which is critical when handling high throughput and load.
It was easily scalable, which is expected from a NoSQL database.
It is provided as a pre-configured box, and scaling is not an option.
We didn't experience any downtime, and the data stayed there consistently.
Couchbase is highly stable, rated at nine out of ten.
Once it's set up, it's easy to use, and there are no headaches.
I would like Couchbase to provide more functionality via the UI, as some operations, such as time-based scaling, currently require using the API.
This delay meant that data on another database, Elasticsearch, was not always up to date, which could be noticed in the games.
What is missing is that they have a new version, Couchbase Mobile three, but they haven't really updated or provided help or documentation about what needs to change to update to the latest mobile version.
The cloud version is only available in AWS, and in the Middle East, it is not well-developed in the Azure environment.
They did update, and since then, I haven't had any problems anymore.
It can range between 25,000 to 40,000 Euros per year depending on company requirements.
The best thing about Couchbase is its versatility in handling data.
The most valuable features of Couchbase include the key-value storage due to its speed and the multi-master capability, which provides more speed and scalability compared to master-slave databases.
We didn't experience any downtime.
It operates as a high-speed data warehouse, which is essential for handling big data.
Couchbase Enterprise offers powerful data management capabilities with features like horizontal scalability, ease of use, and flexible tools for business applications. Designed for high performance and reliability, it supports multi-master capability and low latency, making it ideal for dynamic environments.
Designed for businesses needing crucial data management, Couchbase Enterprise offers advanced indexing, analytics engines, and efficient storage for performance enhancement. It provides flexibility with data types, robust data sync, and supports a dynamic API for seamless integration. Its intuitive query language simplifies operations, ensuring businesses navigate effortlessly while enjoying high availability and extensive features. Despite this, challenges exist in areas like manual failover processes, complex upgrades, and UI limitations, necessitating enhancements in concurrency, integration, and security features. Performance issues on certain platforms add to the need for improved documentation and support.
What are Couchbase Enterprise’s most important features?Couchbase Enterprise is deployed across industries for its excellent data handling capabilities. It empowers telemedicine, e-commerce, gaming, and telecommunications sectors by offering efficient data link utilization, caching, and logging. Some companies leverage its real-time data replication with Elasticsearch for high-performance operational needs, while others benefit from its capabilities in managing reads and writes in iGaming. Retail industries use its document-based storage for structured inventory management, and cloud migrations are simplified with support from Capella.
We monitor all NoSQL Databases reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.